Temporal Dependence in Legal Documents
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2013Access:
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Daniel Isemann, Khurshid Ahmad, Tim Fernando, and Carl Vogel, Temporal Dependence in Legal Documents, Intelligent Data Engineering and Automated Learning - IDEAL2013 - 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013, Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Thomas Weise, Bin Li and Xin Yao, LNCS 8206, Springer, 2013, 497-504Abstract:
Tasks and difficulties inherent in the largely open problem of temporal information extraction from legal text are outlined. We demonstrate the efficacy of tools and concepts available ?off-the-shelf? and suggest refinements for such applications. In particular, the frequent references between regulatory texts have to be addressed as a separate named entity recognition task that bears relevance to an analysis of the temporal ordering of legislation. A regular expression-based approach as a robust first step towards addressing this problem is tested.
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Enterprise Ireland
GRCTC CC-2011-2601-B
Author's Homepage:
http://people.tcd.ie/vogelhttp://people.tcd.ie/tfernand
http://people.tcd.ie/kahmad
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PUBLISHEDHefei, China
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Intelligent Data Engineering and Automated Learning - IDEAL2013 - 14th International Conference, IDEAL 2013Publisher:
SpringerType of material:
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LNCS 8206Availability:
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